EDI is an abbreviation for Electronic Data Interchange. It can make different enterprise and organization interchange trade and commercial datas through Computers in according with the standardized specification. Sinc...EDI is an abbreviation for Electronic Data Interchange. It can make different enterprise and organization interchange trade and commercial datas through Computers in according with the standardized specification. Since it can save various of documents,we also call it"paperless" operation. The development of information technique from primary to advanced, which computers had been used as main part,involves three stages: The first stage is that computers bad been used to replace man to process various of business and documents inside the enterprise. The second stage is the network sys-展开更多
MARPOL 73/78,Chapter IV is considered to reveal the emission control engineering on ships.The probability model of the fuel oil consumption is established based on the machine learning technique.The proposed methods a...MARPOL 73/78,Chapter IV is considered to reveal the emission control engineering on ships.The probability model of the fuel oil consumption is established based on the machine learning technique.The proposed methods are applied into this research in order to establish the probability model of fuel oil consumption.The combination of Monte Carlo(MC)simulation method with Artificial Neural Networks(ANNs)is an optimal solution to deal the fuel consumption of marine main diesel engine.The sample data has been established based on the Monte Carlo simulation method.The model of fuel oil consumption is designed by Artificial Neural Network method.The proposed prediction model of fuel oil consumption is based on a back-propagation training algorithm of ANNs method.The research results of proposed model have been verified with the actual operation data that have been collected from a certain bulk carrier of VINIC shipping transportation company in Vietnam.The collected data is the actual operation parameters from the noon-log report of voyage during two years of the ship.The probability model of fuel oil consumption for main diesel engine is very useful in the field of ships energy efficiency management with higher accurancy than the other previous models.展开更多
文摘EDI is an abbreviation for Electronic Data Interchange. It can make different enterprise and organization interchange trade and commercial datas through Computers in according with the standardized specification. Since it can save various of documents,we also call it"paperless" operation. The development of information technique from primary to advanced, which computers had been used as main part,involves three stages: The first stage is that computers bad been used to replace man to process various of business and documents inside the enterprise. The second stage is the network sys-
文摘MARPOL 73/78,Chapter IV is considered to reveal the emission control engineering on ships.The probability model of the fuel oil consumption is established based on the machine learning technique.The proposed methods are applied into this research in order to establish the probability model of fuel oil consumption.The combination of Monte Carlo(MC)simulation method with Artificial Neural Networks(ANNs)is an optimal solution to deal the fuel consumption of marine main diesel engine.The sample data has been established based on the Monte Carlo simulation method.The model of fuel oil consumption is designed by Artificial Neural Network method.The proposed prediction model of fuel oil consumption is based on a back-propagation training algorithm of ANNs method.The research results of proposed model have been verified with the actual operation data that have been collected from a certain bulk carrier of VINIC shipping transportation company in Vietnam.The collected data is the actual operation parameters from the noon-log report of voyage during two years of the ship.The probability model of fuel oil consumption for main diesel engine is very useful in the field of ships energy efficiency management with higher accurancy than the other previous models.
